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Cao Y, Zhou Z, Liao Q, Shen S, Wang W, Xiao P, Liao J. Effects of landscape conservation on the ecohydrological and water quality functions and services and their driving factors. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 861:160695. [PMID: 36493830 DOI: 10.1016/j.scitotenv.2022.160695] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 11/09/2022] [Accepted: 12/01/2022] [Indexed: 06/17/2023]
Abstract
Since the implementation of landscape conservation of the green heart area in the Changsha-Zhuzhou-Xiangtan Metropolitan Region, the landscape structure and pattern have changed significantly. The ecosystem service functions in the area have been improved, but the status of ecohydrological and water quality and service functions (EHWQSFs) is still unclear. To clarify the status of EHWQSFs and their driving factors influenced by landscape conservation, this study analysed landscape changes using remote sensing image data from 1998, 2008, and 2018 and the changes and their spatial characteristics using the Soil and Water Assessment Tool (SWAT) and spatial analysis methods. The results showed that the dominant land types in the area were forestland and cropland from 1998 to 2018; the area of forestland and construction land expanded and that of cropland decreased year by year; the annual average surface runoff volume rose, and the annual average actual evapotranspiration and soil water content fell from 1998 to 2008 and rose from 2008 to 2018; and all pollutant indicators decreased significantly after 2008. The areas with higher surface runoff were mainly concentrated in the central and southern regions, those with higher evapotranspiration were in the northwestern and southwestern regions, those with higher soil water content were in the northern region, and those with higher sediment and nitrogen and phosphorus pollutant contents were in the central and southeastern regions. The results showed that land use, land cover and meteorological factors were the most significant drivers on EHWQSFs and illustrated that EHWQSFs in the area decreased after 1998. There was a significant improvement after 2008 and the area currently has a good status. This study not only provides insights into land use, land cover and meteorological factors that have significant impacts on EHWQSFs but also highlights that the landscape conservation of the area can improve ecosystem service functions.
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Affiliation(s)
- Yuchi Cao
- College of Landscape Architecture, Central South University of Forestry Technology, Changsha 410004, Hunan, China; Hunan Provincial Big Data Engineering Technology Research Center of Natural Reserve and Landscape Resource; Institute of Human Settlements and Green Infrastructure of Central South University of Forestry and Technology
| | - Zhen Zhou
- College of Landscape Architecture, Central South University of Forestry Technology, Changsha 410004, Hunan, China; Hunan Provincial Big Data Engineering Technology Research Center of Natural Reserve and Landscape Resource; Institute of Human Settlements and Green Infrastructure of Central South University of Forestry and Technology
| | - Qiulin Liao
- College of Landscape Architecture, Central South University of Forestry Technology, Changsha 410004, Hunan, China; Hunan Provincial Big Data Engineering Technology Research Center of Natural Reserve and Landscape Resource; Institute of Human Settlements and Green Infrastructure of Central South University of Forestry and Technology.
| | - Shouyun Shen
- College of Landscape Architecture, Central South University of Forestry Technology, Changsha 410004, Hunan, China; Hunan Provincial Big Data Engineering Technology Research Center of Natural Reserve and Landscape Resource; Institute of Human Settlements and Green Infrastructure of Central South University of Forestry and Technology.
| | - Weiwei Wang
- College of Landscape Architecture, Central South University of Forestry Technology, Changsha 410004, Hunan, China; Hunan Provincial Big Data Engineering Technology Research Center of Natural Reserve and Landscape Resource; Institute of Human Settlements and Green Infrastructure of Central South University of Forestry and Technology
| | - Peng Xiao
- College of Landscape Architecture, Central South University of Forestry Technology, Changsha 410004, Hunan, China; Hunan Provincial Big Data Engineering Technology Research Center of Natural Reserve and Landscape Resource; Institute of Human Settlements and Green Infrastructure of Central South University of Forestry and Technology
| | - Jingpeng Liao
- College of Landscape Architecture, Central South University of Forestry Technology, Changsha 410004, Hunan, China; Hunan Provincial Big Data Engineering Technology Research Center of Natural Reserve and Landscape Resource; Institute of Human Settlements and Green Infrastructure of Central South University of Forestry and Technology
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Wang Y, Fu Q, Wang T, Gao M, Chen J. Multiscale Characteristics and Drivers of the Bundles of Ecosystem Service Budgets in the Su-Xi-Chang Region, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12910. [PMID: 36232213 PMCID: PMC9564794 DOI: 10.3390/ijerph191912910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 09/21/2022] [Accepted: 10/05/2022] [Indexed: 06/16/2023]
Abstract
Managing ecosystem services (ESs) to meet human needs is critical to achieving sustainable development in rapidly urbanizing regions. Identifying ES budget bundles and analyzing their drivers at a multiscale level can facilitate management decision-making; however, further research is required in areas undergoing rapid urbanization. This study quantified the supply, demand, and budgets of six typical ESs at the county, township, and village scales in the Su-Xi-Chang region in 2020. Additionally, the influence of natural environmental and socioeconomic factors on ES budget bundles was investigated based on K-means cluster analysis and the Geodetector model. The results showed that ESs on all three scales showed a mismatch between supply and demand. The similarity in the spatial pattern of supply, demand, and budgets of ESs at the township and village scales was higher than that at the township and county scales. The location and area of surplus, balance, and deficit varied with scale. We found that population density and the proportion of impervious surfaces are the main factors influencing the formation of the ES budget bundles at different scales. In addition, the diversity and degree of interpretation of drivers varied with scale. We believe that focusing on the overall situation on a large scale and implementing precise management on a small scale can make management decisions more effective. This study can provide a scientific basis for the sustainable utilization of ESs in the Su-Xi-Chang region, and the research results and methods can provide a reference for similar studies in other rapidly urbanizing areas in the world.
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Affiliation(s)
- Yue Wang
- School of Politics and Public Administration, Soochow University, Suzhou 215123, China
| | - Qi Fu
- School of Politics and Public Administration, Soochow University, Suzhou 215123, China
- The Institute of Regional Governance, Soochow University, Suzhou 215123, China
- Research Institute of Metropolitan Development of China, Soochow University, Suzhou 215123, China
| | - Tinghui Wang
- School of Politics and Public Administration, Soochow University, Suzhou 215123, China
| | - Mengfan Gao
- School of Politics and Public Administration, Soochow University, Suzhou 215123, China
| | - Jinhua Chen
- School of Politics and Public Administration, Soochow University, Suzhou 215123, China
- The Institute of Regional Governance, Soochow University, Suzhou 215123, China
- Research Institute of Metropolitan Development of China, Soochow University, Suzhou 215123, China
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Huo J, Shi Z, Zhu W, Li T, Xue H, Chen X, Yan Y, Ma R. Construction and Optimization of an Ecological Network in Zhengzhou Metropolitan Area, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19138066. [PMID: 35805723 PMCID: PMC9265322 DOI: 10.3390/ijerph19138066] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Revised: 06/24/2022] [Accepted: 06/28/2022] [Indexed: 02/01/2023]
Abstract
Rapid urbanization aggravates issues related to protection and optimization of the ecological environment. Constructing an ecological network system, including ecological values in planning, and using landscape effects efficiently are important for adjusting regional ecological space and promoting local sustainable development. Land use data from eight time points between 1980 and 2020 in the Zhengzhou Metropolitan Area were used to identify the local ecological sources, corridors and nodes and to identify an ecological network with high structural integrity. The study used the FLUS, MSPA, MCR, and gravity models, hydrological analysis, and network structure evaluation by applying tools such as ArcGIS, Guidos Toolbox and Conefor. The results indicated that: (1) among the nine major ecological sources, those in the Yellow River Basin connected the large−scale sources in the east and west of the network, and the rest were located in the northeast, southeast and southwest of the research area, semi−enclosing the main urban area of Zhengzhou. (2) There were 163 least−cost paths and 58 ecological corridors, mainly distributed along the Yellow River Basin. (3) There were 70 ecological nodes, divided into 10 strategic, 27 natural ecological and 33 artificial environment nodes, distributed in key locations such as the core of each source and the intersection of corridors. (4) The ecological network included all the landscape elements in the research area and connected the main ecological substrates in a semi−enclosing network structure with one horizontal and two vertical corridors and four clusters.
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Affiliation(s)
- Jingeng Huo
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China; (J.H.); (W.Z.); (T.L.); (H.X.); (X.C.); (Y.Y.); (R.M.)
| | - Zhenqin Shi
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China; (J.H.); (W.Z.); (T.L.); (H.X.); (X.C.); (Y.Y.); (R.M.)
- Research Center of Regional Development and Planning, Henan University, Kaifeng 475004, China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Region, Henan University, Ministry of Education, Kaifeng 475004, China
- Correspondence:
| | - Wenbo Zhu
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China; (J.H.); (W.Z.); (T.L.); (H.X.); (X.C.); (Y.Y.); (R.M.)
- Research Center of Regional Development and Planning, Henan University, Kaifeng 475004, China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Region, Henan University, Ministry of Education, Kaifeng 475004, China
| | - Tianqi Li
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China; (J.H.); (W.Z.); (T.L.); (H.X.); (X.C.); (Y.Y.); (R.M.)
- Research Center of Regional Development and Planning, Henan University, Kaifeng 475004, China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Region, Henan University, Ministry of Education, Kaifeng 475004, China
| | - Hua Xue
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China; (J.H.); (W.Z.); (T.L.); (H.X.); (X.C.); (Y.Y.); (R.M.)
| | - Xin Chen
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China; (J.H.); (W.Z.); (T.L.); (H.X.); (X.C.); (Y.Y.); (R.M.)
| | - Yanhui Yan
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China; (J.H.); (W.Z.); (T.L.); (H.X.); (X.C.); (Y.Y.); (R.M.)
| | - Ran Ma
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China; (J.H.); (W.Z.); (T.L.); (H.X.); (X.C.); (Y.Y.); (R.M.)
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